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Journal articles on the topic 'Log-linear parameters'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

ALBA, RICHARD D. "Interpreting the Parameters of Log-Linear Models." Sociological Methods & Research 16, no. 1 (1987): 45–77. http://dx.doi.org/10.1177/0049124187016001003.

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2

Evans, Robin J., and Thomas S. Richardson. "Marginal log-linear parameters for graphical Markov models." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 75, no. 4 (2013): 743–68. http://dx.doi.org/10.1111/rssb.12020.

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3

Nagulu, Banoth, Y. Satyanarayana, Rao P. Srinivasa, and Krishna Gopal. "ESTIMATION OF THE GROWTH CURVE PARAMETERS IN Macrobrachium rosenbergii." Continental J. Fisheries and Aquatic Science 5, no. 1 (2011): 38–48. https://doi.org/10.5281/zenodo.3526086.

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Growth is one of the most important characteristics of cultured species. The objective of this study was to determine the fitness of linear, log linear, polynomial, exponential and Logistic functions to the growth curves of <em>Macrobrachium rosenbergii</em> obtained by using weekly records of live weight, total length, head length, claw length, and last segment length from 20 to 192 days of age. The models were evaluated according to the coefficient of determination (R<sup>2</sup>), and error sum off square (ESS) and helps in formulating breeders in selective breeding programs. Twenty full-si

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Haber, Michael. "Log-Linear Models for Linked Loci: Variances of Estimated Parameters." Biometrical Journal 30, no. 5 (2007): 589–93. http://dx.doi.org/10.1002/bimj.4710300513.

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5

Danaher, Peter J. "A Log-Linear Model for Predicting Magazine Audiences." Journal of Marketing Research 25, no. 4 (1988): 356–62. http://dx.doi.org/10.1177/002224378802500403.

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A log-linear model for predicting magazine exposure distributions is developed and its parameters are estimated by the maximum likelihood technique. The log-linear model is compared empirically with the best-found model for equal-insertion schedules, one of Leckenby and Kishi's Dirichlet multinomial models. For unequal-insertion schedules the log-linear model is compared with the popular Metheringham beta-binomial model. The results show that the log-linear model has significantly smaller prediction errors than either of the other models.

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6

Mukhopadhyay, Late Anis Chandra, and Rabindra Nath Das. "Inference on log-linear regression model parameters with composite autocorrelated errors." Model Assisted Statistics and Applications 10, no. 3 (2015): 231–42. http://dx.doi.org/10.3233/mas-150327.

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7

Gasmi, Soufiane. "Estimating parameters of a log-linear intensity for a repairable system." Applied Mathematical Modelling 37, no. 6 (2013): 4325–36. http://dx.doi.org/10.1016/j.apm.2012.09.050.

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Janjic, Tomislav, Gordana Vuckovic, and Milenko Celap. "Theoretical consideration and application of the SP and SP' scales in RP chromatographic systems in which Everett’s equation is valid." Journal of the Serbian Chemical Society 67, no. 3 (2002): 179–86. http://dx.doi.org/10.2298/jsc0203179j.

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It is shown that in the case of ODS and less polar modifiers the log k values are a linear function of the SP?parameters. This findings differ from earlier investigated systems, in which a linear dependence between log k and SP parameters (SP = log SP?) was found. Both linear relationships have been analyzed and the corresponding possible separation mechanisms have been considered. In addition, the advantages of normalization of both scales are shown and how then they can be applied in the investigation of substances congenerity.

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9

Habib, Elsayed Ali. "Estimation of Log-Linear-Binomial Distribution with Applications." Journal of Probability and Statistics 2010 (2010): 1–13. http://dx.doi.org/10.1155/2010/423654.

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Log-linear-binomial distribution was introduced for describing the behavior of the sum of dependent Bernoulli random variables. The distribution is a generalization of binomial distribution that allows construction of a broad class of distributions. In this paper, we consider the problem of estimating the two parameters of log-linearbinomial distribution by moment and maximum likelihood methods. The distribution is used to fit genetic data and to obtain the sampling distribution of the sign test under dependence among trials.

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10

Bucca, Mauricio. "Heatmaps for Patterns of Association in log-Linear Models." Socius: Sociological Research for a Dynamic World 6 (January 2020): 237802311989921. http://dx.doi.org/10.1177/2378023119899219.

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Log-linear models offer a detailed characterization of the association between categorical variables, but the breadth of their outputs is difficult to grasp because of the large number of parameters these models entail. Revisiting seminal findings and data from sociological work on social mobility, the author illustrates the use of heatmaps as a visualization technique to convey the complex patterns of association captured by log-linear models. In particular, turning log odds ratios derived from a model’s predicted counts into heatmaps makes it possible to summarize large amounts of informatio

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11

Novak, Thomas P. "Log-Linear Trees: Models of Market Structure in Brand Switching Data." Journal of Marketing Research 30, no. 3 (1993): 267–87. http://dx.doi.org/10.1177/002224379303000301.

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Log-linear trees restrict the log-linear model of quasi-symmetry so that parameters are interpretable as arc lengths in an additive tree. The tree representation can be interpreted further in terms of consumer heterogeneity, affording a dual interpretation in terms of both market structure and opportunities for market segmentation.

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Morán-Vásquez, Raúl Alejandro, Anlly Daniela Giraldo-Melo, and Mauricio A. Mazo-Lopera. "Quantile Estimation Using the Log-Skew-Normal Linear Regression Model with Application to Children’s Weight Data." Mathematics 11, no. 17 (2023): 3736. http://dx.doi.org/10.3390/math11173736.

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In this article, we establish properties that relate quantiles of the log-skew-normal distribution to its parameters, allowing us to investigate the relationship between quantiles of a positive skewed response variable and a set of explanatory variables via the log-skew-normal linear regression model. We compute the maximum likelihood estimates of the parameters through a correspondence between the log-skew-normal and skew-normal linear regression models. Monte Carlo simulations show the satisfactory performance of the quantile estimators. An application to children’s data is presented and dis

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13

Bayo, H. Lawal. "On Modeling the Double and Multiplicative Binomial Models as Log-Linear Models." Advances in Computer Sciences (ISSN:2517-5718) 1, no. 1 (2018): 1–10. https://doi.org/10.31021/acs.20181103.

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<strong>Abstract</strong> In this paper we have fitted the double binomial and multiplicative binomial distributions as log-linear models using sufficient statistics. This approach is not new as several authors have employed this approach, most especially in the analysis of the Human sex ratio in [1]. However, obtaining the estimated parameters of the distributions may be problematic, especially for the double binomial where the parameter estimate of π may not be readily available from the Log-Linear (LL) parameter estimates. Other issues associated with the LL approach is its implementatio

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Jing, W., and M. Papathomas. "On the correspondence of deviances and maximum-likelihood and interval estimates from log-linear to logistic regression modelling." Royal Society Open Science 7, no. 1 (2020): 191483. http://dx.doi.org/10.1098/rsos.191483.

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Consider a set of categorical variables P where at least one, denoted by Y , is binary. The log-linear model that describes the contingency table counts implies a logistic regression model, with outcome Y . Extending results from Christensen (1997, Log-linear models and logistic regression , 2nd edn. New York, NY, Springer), we prove that the maximum-likelihood estimates (MLE) of the logistic regression parameters equals the MLE for the corresponding log-linear model parameters, also considering the case where contingency table factors are not present in the corresponding logistic regression a

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Fan, J. H., J. H. Yang, D. X. Wu, S. H. Li, Y. Liu, and Z. Y. Ji. "The Correlation between the Gamma-Ray Luminosity and the Core-Dominance Parameters for a Fermi Blazar Sample." Proceedings of the International Astronomical Union 9, S304 (2013): 157–58. http://dx.doi.org/10.1017/s1743921314003627.

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AbstractIn this work, we investigated the correlation between the γ-ray luminosity, logLγ and the core-dominance parameter, log (1+R), for a sample of 124 Fermi blazars with available core and extended radio emissions. Our analysis shows that there is no correlation between the γ-ray luminosity, log Lγ and the core-dominance parameter, log (1+R). However, there is a closely linear correlation between log Lγ − log LExt and log (1+R), log Lγ−log LExt = (0.95 ± 0.08) log (1+R) + (2.72 ± 0.11), for the whole sample. The result suggests that the γ-ray emissions are composed of two components, one i

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16

Feng, Tao-Wei. "A linear log d log w model for the determination of consistency limits of soils." Canadian Geotechnical Journal 38, no. 6 (2001): 1335–42. http://dx.doi.org/10.1139/t01-061.

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A linear logarithmlogarithm model for the fall cone penetration depth versus water content relationship (flow curve) has been developed based on the results of an experimental study using the British fall cone apparatus. The fall cone flow curve is expressed by a simple equation with parameters m and c, which represent the slope of the flow curve and the water content at a penetration depth of 1 mm, respectively. For a soil, the flow curve can be determined by applying a linear regression analysis to at least four data points with penetration depths approximately evenly distributed between 25

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Rózylo, Jan K., Anna Zabiñska, Joanna Matysiak, and Andrzej Niewiadomy. "Reversed-Phase Thin-Layer Chromatography with Different Stationary Phases in Studies of Quantitative Structure–Biological Activity Relationship of New Antimycotic Compounds." Journal of AOAC INTERNATIONAL 82, no. 1 (1999): 31–37. http://dx.doi.org/10.1093/jaoac/82.1.31.

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Abstract Reversed-phase thin-layer chromatography with RP-8, RP-18, and RP-18W stationary phases was used in quantitative structure–activity relationship (QSAR) studies of new antimycotic compounds. The retention behavior of 10 dihydroxythioben-zanilides was examined for acquisition of log k data. With water–acetone mixtures as the mobile phases, the concentration range for which the correlation between log k′ and acetone concentration is linear was established for each stationary phase and used to determine hydrophobicity parameters log k′w by linear extrapolation. The effect of substituents

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Cappato, Leandro Pereira, Amanda Mattos Dias-Martins, Izadora Martina de Freitas Meireles, Elisa Helena da Rocha Ferreira, Wilson José Fernandes Lemos Junior, and Amauri Rosenthal. "Modeling the Thermal Inactivation of Monascus ruber Ascospores Isolated from Green Olive (Arauco Cultivar) Storage Brine: An Alternative Strategy to Reduce Antifungal Chemical Agents." Foods 13, no. 12 (2024): 1881. http://dx.doi.org/10.3390/foods13121881.

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Monascus ruber is an important fungus that causes spoilage in table olives, resulting in the darkening of the brine, the softening of the fruit, increased pH, and apparent mycelial growth. This study aimed to evaluate this resistance, providing a model to determine the optimal processing conditions for mitigating fungal contamination and prolonging shelf life without antifungal agents while optimizing pasteurization to reduce energy consumption. The resistance in brine (3.5% NaCl; pH 3.5) from Arauco cultivar green olives imported from Argentina was assessed. Four predictive models (log linear

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19

Zighera, Jacques A. "Partitioning information in a multidimensional contingency table and centring of log-linear parameters." Applied Stochastic Models and Data Analysis 1, no. 2 (1985): 93–108. http://dx.doi.org/10.1002/asm.3150010203.

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Livingston, E. H., T. Reedy, F. W. Leung, and P. H. Guth. "Computerized curve fitting in the analysis of hydrogen gas clearance curves." American Journal of Physiology-Gastrointestinal and Liver Physiology 257, no. 4 (1989): G668—G675. http://dx.doi.org/10.1152/ajpgi.1989.257.4.g668.

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Hydrogen gas clearance curves obtained from the rat gastric corpus were digitized into a computer and then analyzed by three methods: 1) linear regression of log-transformed data, 2) direct curve fitting with a modified Gauss-Newton nonlinear regression algorithm, and 3) Zierler's height-over-area algorithm. For linear regression of log-transformed data, if the initial base-line estimate was inaccurate or normal amounts of experimental noise were present, the log-transformed data was skewed, leading to deviation of the regression line and incorrect estimation of blood flow. By utilization of t

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21

GARCÉS-VEGA, FRANCISCO, and BRADLEY P. MARKS. "Use of Simulation Tools To Illustrate the Effect of Data Management Practices for Low and Negative Plate Counts on the Estimated Parameters of Microbial Reduction Models." Journal of Food Protection 77, no. 8 (2014): 1372–79. http://dx.doi.org/10.4315/0362-028x.jfp-13-462.

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In the last 20 years, the use of microbial reduction models has expanded significantly, including inactivation (linear and nonlinear), survival, and transfer models. However, a major constraint for model development is the impossibility to directly quantify the number of viable microorganisms below the limit of detection (LOD) for a given study. Different approaches have been used to manage this challenge, including ignoring negative plate counts, using statistical estimations, or applying data transformations. Our objective was to illustrate and quantify the effect of negative plate count dat

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22

Bölücü, Necva, and Burcu Can. "A Cascaded Unsupervised Model for PoS Tagging." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 1 (2021): 1–23. http://dx.doi.org/10.1145/3447759.

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Part of speech (PoS) tagging is one of the fundamental syntactic tasks in Natural Language Processing, as it assigns a syntactic category to each word within a given sentence or context (such as noun, verb, adjective, etc.). Those syntactic categories could be used to further analyze the sentence-level syntax (e.g., dependency parsing) and thereby extract the meaning of the sentence (e.g., semantic parsing). Various methods have been proposed for learning PoS tags in an unsupervised setting without using any annotated corpora. One of the widely used methods for the tagging problem is log-linea

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23

Girard, Claude, Taha B. M. J. Ouarda, and Bernard Bobée. "Étude du biais dans le modèle log-linéaire d'estimation régionale." Canadian Journal of Civil Engineering 31, no. 2 (2004): 361–68. http://dx.doi.org/10.1139/l03-099.

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Log-linear models are frequently used in hydrology, especially for the regional estimation of flood volumes based on the physiographic data of a set of basins. A log-linear model describes a linear relationship between the log of a dependant variable and independent variables which are functions of parameters, of which the value remains to be determined. It is determined by using a set of basins with known values of dependant and independent variables. The model is then used to obtain a prediction for the dependant variable logarithm of a basin of interest, based on the known values of indepen

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Martínez-Flórez, Guillermo, Rafael Bráz Azevedo-Farias, and Roger Tovar-Falón. "An Exponentiated Multivariate Extension for the Birnbaum-Saunders Log-Linear Model." Mathematics 10, no. 8 (2022): 1299. http://dx.doi.org/10.3390/math10081299.

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In this work, a bivariate extension of the univariate exponentiated sinh-normal distribution is proposed. The properties of the new distribution, which is called the bivariate exponentiated sinh-normal distribution, are studied in detail, and the maximum likelihood method is considered to estimate the unknown model parameters. In addition, the extension of the new distribution to the case of regression models is proposed. Monte Carlo simulation experiments are carried out to investigate the performance of the used estimation method, and two applications to real datasets are presented for illus

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Rima, Laura, Khaled Haddad, and Ataur Rahman. "Generalised Additive Model-Based Regional Flood Frequency Analysis: Parameter Regression Technique Using Generalised Extreme Value Distribution." Water 17, no. 2 (2025): 206. https://doi.org/10.3390/w17020206.

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This study examines the effectiveness of Generalised Additive Models (GAMs) and log-log linear models for estimating the parameters of the generalised extreme value (GEV) distribution, which are then used to estimate flood quantiles in ungauged catchments. This is known as the parameter regression technique (PRT). Using data from 88 gauged catchments in New South Wales, Australia, flood quantiles were estimated for various annual exceedance probabilities (AEPs) of 50%, 20%, 10%, 5%, 2%, and 1%, corresponding to return periods of 2, 5, 10, 20, 50, and 100 years, denoted by Q2, Q5, Q10, Q20, Q50

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Balakrishnan, N., and H. J. Malik. "Best linear unbiased estimation of location and scale parameters of the log-logistic distribution." Communications in Statistics - Theory and Methods 16, no. 12 (1987): 3477–95. http://dx.doi.org/10.1080/03610928708829586.

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Izadbakhsh, Hamidreza, Rassoul Noorossana, and Seyed Taghi Akhavan Niaki. "Monitoring multinomial logistic profiles in Phase I using log-linear models." International Journal of Quality & Reliability Management 35, no. 3 (2018): 678–89. http://dx.doi.org/10.1108/ijqrm-04-2017-0068.

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Purpose The purpose of this paper is to apply Poisson generalized linear model (PGLM) with log link instead of multinomial logistic regression to monitor multinomial logistic profiles in Phase I. Hence, estimating the coefficients becomes easier and more accurate. Design/methodology/approach Simulation technique is used to assess the performance of the proposed algorithm using four different control charts for monitoring. Findings The proposed algorithm is faster and more accurate than the previous algorithms. Simulation results also indicate that the likelihood ratio test method is able to de

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BLACK, D. GLENN, X. PHILIP YE, FEDERICO HARTE, and P. MICHAEL DAVIDSON. "Thermal Inactivation of Escherichia coli O157:H7 When Grown Statically or Continuously in a Chemostat." Journal of Food Protection 73, no. 11 (2010): 2018–24. http://dx.doi.org/10.4315/0362-028x-73.11.2018.

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The objective of this study was to determine if survivor curves for heat-inactivated Escherichia coli O157:H7 were affected by the physiological state of the cells relative to growth conditions and pH of the heating menstruum. A comparison was made between the log-linear model and non–log-linear Weibull approach. Cells were grown statically in aerobic culture tubes or in an aerobic chemostat in tryptic soy broth (pH 7.2). The heating menstruum was unbuffered peptone or phosphate buffer (pH 7.0). Thermal inactivation was carried out at 58, 59, 60, and 61°C, and recovery was on a nonselective me

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Sharma, D., and Rakhi Nanda. "Volume prediction model for Chir pine (Pinus roxburghii Sargent)." Indian Journal of Forestry 31, no. 1 (2008): 57–60. http://dx.doi.org/10.54207/bsmps1000-2008-9x1dvo.

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The study was conducted on Chir pine stand (Pinus roxburghii Sargent) at Barog range (R-31) under Solan Forest Division (H.P.) during the year 2004-2005, to develop volume prediction model based allometric relationships between stand volume and stem growth parameters (DBH and Height). Among various linear and non-linear function, both log-linear and power function performed comparatively better over other functions. In both the functions, DBH and Height parameters explained 99 per cent and 95 per cent of variation in the stem volume, respectively. However, the power function outperformed the l

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Lorenzen, Robert. "Multivariate linear regression of sonic logs on petrophysical logs for detailed reservoir characterization in producing fields." Interpretation 6, no. 3 (2018): T543—T553. http://dx.doi.org/10.1190/int-2018-0030.1.

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Many development wells do not have sonic logs recorded, often because of mechanical issues with deviated wellbores or high cost. Consequently, tying development wells to the seismic data covering the field becomes difficult. This issue is magnified in fields where multiple heterogeneous thin sands form thick-stacked pay packages. Multivariate linear regression is a powerful tool to analyze the interdependence of data. Well data from three producing fields in the Balingian Province, offshore Sarawak, Malaysia, are used to calculate parameters relating the recorded sonic-log data to other record

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Janjic, T. J., G. Vuckovic, and M. B. Celap. "Influence of the composition of the stationary and mobile phase on the retention factors and solvent strength parameters in RP chromatographic systems in which the Everett equation is valid." Journal of the Serbian Chemical Society 66, no. 10 (2001): 671–83. http://dx.doi.org/10.2298/jsc0110671j.

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It is shown how in RP chromatography the Everett equation for ideal phase equilibriums can be used to estimate SP values (SP = log xs/x1, xs and x1 denoting the modifier mole fractions in the stationary and mobile phases, respectively) which are in a linear dependence with the log k values. The described procedure includes the determination of the approximate phase equilibrium constant K. By analysis of the Everett equation it was found that in the field of x1/K there are regions of linear dependence of the SP parameter or log k values and the mole fraction of modifiers or its logarithm. Conse

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CHUNG, HYUN-JUNG, SHAOJIN WANG, and JUMING TANG. "Influence of Heat Transfer with Tube Methods on Measured Thermal Inactivation Parameters for Escherichia coli." Journal of Food Protection 70, no. 4 (2007): 851–59. http://dx.doi.org/10.4315/0362-028x-70.4.851.

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The purpose of this study was to investigate the influence of heat transfer on measured thermal inactivation kinetic parameters of bacteria in solid foods when using tube methods. The bacterial strain selected for this study, Escherichia coli K-12, had demonstrated typical first-order inactivation characteristics under isothermal test conditions. Three tubes of different sizes (3, 13, and 20 mm outer diameter) were used in the heat treatments at 57, 60, and 63°C with mashed potato as the test food. A computer model was developed to evaluate the effect of transit heat transfer behavior on micro

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Li, Lixiong, Chris L. Wilbur, and Kathryn L. Mintz. "Kinetics of Hydrothermal Inactivation of Endotoxins." Applied and Environmental Microbiology 77, no. 8 (2010): 2640–47. http://dx.doi.org/10.1128/aem.01460-10.

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ABSTRACTA kinetic model was established for the inactivation of endotoxins in water at temperatures ranging from 210°C to 270°C and a pressure of 6.2 × 106Pa. Data were generated using a bench scale continuous-flow reactor system to process feed water spiked with endotoxin standard (Escherichia coliO113:H10). Product water samples were collected and quantified by theLimulusamebocyte lysate assay. At 250°C, 5-log endotoxin inactivation was achieved in about 1 s of exposure, followed by a lower inactivation rate. This non-log-linear pattern is similar to reported trends in microbial survival cur

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Liu, Tangwei, Hehua Xu, Xiaobin Shi, Xuelin Qiu, and Zhen Sun. "Reservoir Parameters Estimation with Some Log Curves of Qiongdongnan Basin Based on LS-SVM Method." Journal of Physics: Conference Series 2092, no. 1 (2021): 012024. http://dx.doi.org/10.1088/1742-6596/2092/1/012024.

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Abstract Reservoir porosity and permeability are considered as very important parameters in characterizing oil and gas reservoirs. Traditional methods for porosity and permeability prediction are well log and core data analysis to get some regression empirical formulas. However, because of strong non-linear relationship between well log data and core data such as porosity and permeability, usual statistical regression methods are not completely able to provide meaningful estimate results. It is very difficult to measure fine scale porosity and permeability parameters of the reservoir. In this

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Wang, Zhi Ming. "Log-Linear Process Modeling of Reliability Assessment for Numerical Control Machine Tools." Advanced Materials Research 542-543 (June 2012): 1200–1203. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.1200.

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The point maximum likelihood and interval estimators of the parameters, as well as two reliability indices of the log-linear process model, including cumulative mean time between failures and reliability at given time are given. In tests for failure time trends, both the graphical methods include the mean cumulative function versus time plot and the total-time-on-test plot, and the analytical methods include the Laplace, the military handbook, and the Lewis-Robinson tests are used. A real case of failure dada with time truncation for multiple numerical control (NC) machine tools is given to il

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Chen, Bo, Chunying Ma, Witold F. Krajewski, Pei Wang, and Feipeng Ren. "Logarithmic transformation and peak-discharge power-law analysis." Hydrology Research 51, no. 1 (2019): 65–76. http://dx.doi.org/10.2166/nh.2019.108.

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Abstract The peak-discharge and drainage area power-law relation has been widely used in regional flood frequency analysis for more than a century. The coefficients and can be obtained by nonlinear or log-log linear regression. To illustrate the deficiencies of applying log-transformation in peak-discharge power-law analyses, we studied 52 peak-discharge events observed in the Iowa River Basin in the United States from 2002 to 2013. The results show that: (1) the estimated scaling exponents by the two methods are remarkably different; (2) for more than 80% of the cases, the power-law relations

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Helmy, Adel, Ivan Timofeev, Christopher R. Palmer, Alison Gore, David K. Menon, and Peter J. Hutchinson. "Hierarchical log linear analysis of admission blood parameters and clinical outcome following traumatic brain injury." Acta Neurochirurgica 152, no. 6 (2010): 953–57. http://dx.doi.org/10.1007/s00701-009-0584-y.

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Alnaji, Lulah. "Random and Fixed Effects Selection for Weighted Ridge." International Journal of Analysis and Applications 21 (May 1, 2023): 40. http://dx.doi.org/10.28924/2291-8639-21-2023-40.

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Using penalized profiled log-likelihood and penalized limited profiled log-likelihood, respectively, together with the weighted ridge penalized term, we offer a method in this study for choosing the fixed and random effects in linear mixed models. Then, we use the penalized restricted profiled log-likelihood to perform in the random effects depending on the chosen tuning parameter. Second, we use the penalized profiled log-likelihood to choose the fixed effect parameters. There is no closed-form solution for the choice of the fixed and random effects, hence the Newton-Raphson technique is empl

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Bi, Chenyang, Jordan E. Krechmer, Manjula R. Canagaratna, and Gabriel Isaacman-VanWertz. "Correcting bias in log-linear instrument calibrations in the context of chemical ionization mass spectrometry." Atmospheric Measurement Techniques 14, no. 10 (2021): 6551–60. http://dx.doi.org/10.5194/amt-14-6551-2021.

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Abstract. Quantitative calibration of analytes using chemical ionization mass spectrometers (CIMSs) has been hindered by the lack of commercially available standards of atmospheric oxidation products. To accurately calibrate analytes without standards, techniques have been recently developed to log-linearly correlate analyte sensitivity with instrument operating conditions. However, there is an inherent bias when applying log-linear calibration relationships that is typically ignored. In this study, we examine the bias in a log-linear-based calibration curve based on prior mathematical work. W

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White, Sarah J., Denis Drieghe, Simon P. Liversedge, and Adrian Staub. "The word frequency effect during sentence reading: A linear or nonlinear effect of log frequency?" Quarterly Journal of Experimental Psychology 71, no. 1 (2018): 46–55. http://dx.doi.org/10.1080/17470218.2016.1240813.

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The effect of word frequency on eye movement behaviour during reading has been reported in many experimental studies. However, the vast majority of these studies compared only two levels of word frequency (high and low). Here we assess whether the effect of log word frequency on eye movement measures is linear, in an experiment in which a critical target word in each sentence was at one of three approximately equally spaced log frequency levels. Separate analyses treated log frequency as a categorical or a continuous predictor. Both analyses showed only a linear effect of log frequency on the

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Luo, S., and Shuxia Pang. "Empirical likelihood for quantile regression models with response data missing at random." Open Mathematics 15, no. 1 (2017): 317–30. http://dx.doi.org/10.1515/math-2017-0028.

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Abstract This paper studies quantile linear regression models with response data missing at random. A quantile empirical-likelihood-based method is proposed firstly to study a quantile linear regression model with response data missing at random. It follows that a class of quantile empirical log-likelihood ratios including quantile empirical likelihood ratio with complete-case data, weighted quantile empirical likelihood ratio and imputed quantile empirical likelihood ratio are defined for the regression parameters. Then, a bias-corrected quantile empirical log-likelihood ratio is constructed

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Beniušienė, Lina, Edmundas Petrauskas, Marius Aleinikovas, Iveta Varnagirytė-Kabašinskienė, Ričardas Beniušis, and Benas Šilinskas. "Norway Spruce Stem Parameters in Sites with Different Stand Densities in Lithuanian Hemiboreal Forest." Forests 12, no. 2 (2021): 201. http://dx.doi.org/10.3390/f12020201.

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Background and Objectives: The study aimed to determine the changes of the main stem and branch parameters of Norway spruce (Picea abies (L.) H. Karst) trees under different stand densities. More specifically, the objective was to develop the models for the determination of branch diameter in 0–6 m log from root collar, taken as one of the parameters directly influencing the stem quality. The study continues a piece of research on stem and branch parameters’ responses to different stand density (SD) in the plantations of coniferous tree species in Lithuania. Materials and Methods: The followin

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Sobańska, Anna Weronika, and Elżbieta Brzezińska. "Immobilized Keratin HPLC Stationary Phase—A Forgotten Model of Transdermal Absorption: To What Molecular and Biological Properties Is It Relevant?" Pharmaceutics 15, no. 4 (2023): 1172. http://dx.doi.org/10.3390/pharmaceutics15041172.

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Chromatographic retention data collected on immobilized keratin (KER) or immobilized artificial membrane (IAM) stationary phases were used to predict skin permeability coefficient (log Kp) and bioconcentration factor (log BCF) of structurally unrelated compounds. Models of both properties contained, apart from chromatographic descriptors, calculated physico-chemical parameters. The log Kp model, containing keratin-based retention factor, has slightly better statistical parameters and is in a better agreement with experimental log Kp data than the model derived from IAM chromatography; both mod

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Bestugin, Aleksandr, Sergey Dvornikov, Sergey Dvornikov, and Irina Kirshina. "Study of the electrical parameters dependences of oblique log-periodic antennas on the geometric structure of their reducing elements." Journal of Physics: Conference Series 2373, no. 6 (2022): 062007. http://dx.doi.org/10.1088/1742-6596/2373/6/062007.

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Abstract Antenna systems are an integral part of any transmitter-receiver device. A broad-band and frequency-independent antenna can be created applying a principle of electrical similarity. Its essence is that the electrical parameters of antennas remain unchanged if, with a decrease or increase in wavelength n times and, accordingly, decrease or increase the linear dimensions of the antenna elements. It is very important to guarantee the constancy of the antenna-radiating element’s parameters in a sufficiently wide frequency range. Log-periodic, biconical and various types of helical antenna

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Poirier, D., T. H. Sanders, and J. P. Davis. "Salmonella Surrogate Reduction Using Industrial Peanut Dry Roasting Parameters." Peanut Science 41, no. 2 (2014): 72–84. http://dx.doi.org/10.3146/ps13-21.1.

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ABSTRACT Studies were conducted to evaluate the effectiveness of industrial peanut dry roasting parameters in Salmonella reduction using a Salmonella surrogate, Enterococcus faecium, which is slightly more heat tolerant than Salmonella. Runner-type peanuts were inoculated with E. faecium and roasted in a laboratory scale roaster simulator in which temperature, airflow, airflow direction and bed depth were highly controlled, allowing for conditions that duplicate industrial dry roasting. Temperature data were collected at the top, middle and bottom of the roasting bed in addition to internal pe

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Okoli, Cecilia N., Sidney I. Onyeagu, and George A. Osuji. "On the Estimation of Parameters and Best Model Fits of Log Linear Model for Contingency Table." OALib 02, no. 01 (2015): 1–11. http://dx.doi.org/10.4236/oalib.1101189.

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Oler, Jacqueline. "Noncentrality Parameters in Chi-Squared Goodness-of-Fit Analyses with an Application to Log-Linear Procedures." Journal of the American Statistical Association 80, no. 389 (1985): 181–89. http://dx.doi.org/10.1080/01621459.1985.10477158.

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Melo, José Roberto Tude, Federico Di Rocco, Michel Zerah, and Philippe Meyer. "About hierarchical log linear analysis of admission blood parameters and clinical outcome following traumatic brain injury." Acta Neurochirurgica 152, no. 11 (2010): 2005. http://dx.doi.org/10.1007/s00701-010-0745-z.

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Radavičius, Marijus, and Jurgita Židanavičiūtė. "Statistinė struktūrų analizė: kai kurios jos taikymo problemos." Lietuvos matematikos rinkinys 45 (December 18, 2005): 354–62. http://dx.doi.org/10.15388/lmr.2005.27388.

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The work is based on data about the prevalence of congenital anomalies among newborns in Lithuania. The log-linear model is used to assess dependence structure of a subset of categorical variables. It is shown that fitting the log-linear model with just three categorical variables can be a rather complicated task due to large number of unknown parameters and cells in the contingency table. The classical chi-squre test and the bootstrap technique are compared for testing goodness-of-fit. The results demonstrate that the number of cells of even nonsparse contingency tables has significant impact

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J., M. JESSY. "Quantitative Correlation of the Effect of Changing Alkyl Substitution in Solvent, on Solubility for Alcoholic Solutions." Journal of Indian Chemical Society Vol. 75, Jun 1998 (1998): 352–53. https://doi.org/10.5281/zenodo.5937234.

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Department of Chemistry, University of Calicut, Calicut-673 635 <em>Manuscript received 1 April 1997, accepted 23 October 1997</em> The solubility of benzoic acid has been determined in two series of aliphatic alcohols. The solubility parameter 'solubilizing number' (N) is defined as solvent-to-solute molar ratio in saturated solution. Logarithm of this parameter gives good linear correlation with the function log (1/µ), where µ is the solute-solvent reduced molecular weight. The correlation provides additional evidence that logarithm of reactivity parameters (suc

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